Designing a global supply chain network considering sustainability and resiliency under uncertainty: Case Study oxygen concentrator device

Document Type : Research Paper

Authors

1 Ph.D. Student Allameh Tabataba’i, Tehran, Iran

2 Prof., Faculty of Management University of Allameh Tabataba’i, Tehran, Iran

3 Associate Prof., Faculty of Management University of Allameh Tabataba’i, Tehran, Iran

Abstract

In recent years, the growth of industry and technology and also competitive market have led to increasing the importance of the supply chain network design problem. Hence, this research studies the global supply chain network design problem considering sustainability and resiliency criteria. To do this, a multi-objective mixed-integer programming model is proposed to minimize the total costs and environmental impacts and also maximize the social impacts and resiliency such that the global factors are considered. Due to the fluctuation of the business environment, uncertainty is one of the major challenges of the supply chain problem. In this regard, the current study investigates the research problem under uncertainty and applied the fuzzy robust stochastic approach to tackle uncertainty. Afterwards, the proposed model is solved employing the multi-choice goal programming method. Due to increasing the importance of the medical devices in the recent pandemic (COVID-19), this study selects a case study in this industry namely the oxygen concentrator device. Eventually, several sensitivity analyses have been conducted to examine the impact of the critical parameters on the research problem and managerial implications have been provided.

Keywords

Emergency Management
Volume 10, Passive Defense
July 2022
Pages 142-160

Files

History

  • Receive Date: 10 August 2021
  • Revise Date: 21 October 2021
  • Accept Date: 18 December 2021

Share

How to cite

Statistics